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  2. NONPARAMETRIC SURFACE REGRESSIONFOR STRAIN ESTIMATION J. E. Lindop,…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr598.pdf
    6 Mar 2008: As for the roughness penalty, we test the penalty set out in Equation 1. ... Several different methods areapplied in tests in Sections 4.3 and 4.4.
  3. Statistical Machine Translationand Automatic Speech Recognitionunder…

    mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDissDec07.pdf
    16 Feb 2008: 716.4 Translation examples for the EPPS Eval05 test set : ASR 1-best and. ... BLEU is defined over all the sentences in the test set i.e.
  4. A QUALITY-GUIDED DISPLACEMENTTRACKING ALGORITHM FOR ULTRASONIC…

    mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr593.pdf
    17 Jan 2008: At each test point, awindow is defined with the point at its centre. ... For this particular data set, the 5% test eliminates all but three of the original twentyseeds.
  5. 11 Jan 2008: This paper investigates using the MBR criterion for unsuper-vised discriminative language model adaptation in test-time for speechrecognition and translation systems. ... Unsupervised test-time discriminative adaptation of mixture languagemodels was
  6. 16 Jan 2008: 137. 8.6 Proportion of development and core test sets rescored as the number of. ... 133. 8.9 Confusable phone-pairs in the TIMIT classification core test set.
  7. Bitext Alignment forStatistical Machine Translation Yonggang Deng A…

    mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf
    16 Feb 2008: exponential of the cross entropy of the language model on the test set. ... using the posterior distribution with the goal of improving phrase coverage on test.
  8. Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…

    mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf
    16 Feb 2008: For each N-best list on the test set, theoracle BLEU hypothesis is computed under the sentence-level BLEUmetric. ... The oracle hypotheses are concatenated over the test set, andthe test-set BLEU score is measured.
  9. slides.dvi

    mi.eng.cam.ac.uk/~mjfg/gales_AUG08.pdf
    15 Aug 2008: Training dataset: about 290hr, 5446spkr; Test dataset: 6hr, 144spkr– Front-end: PLPEnergy1st,2nd,3rd derivatives, HLDA and VTLN used– 16 Gaussian components per state systems; state clustered triphones– 150-Best list
  10. 9 Jul 2008: 97. 8.2 Singlepass BN Mandarin baseline CER (%) results on the bnmdev06 test set. ... Threshold loss function with β = 0.25 on the dev03 andeval98 test sets.
  11. Derivative and Parametric Kernels for Speaker Verification C.…

    mi.eng.cam.ac.uk/~mjfg/longworth_inter07.pdf
    8 Jan 2008: 7] A. Martin, “The NIST year 2002 speaker recog-nition evaluation plan,” 2002, available fromhttp://www.nist.gov/speech/tests/spk/2002/doc.
  12. Bitext Alignment for Statistical Machine Translation

    mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDefenseDec05.pdf
    16 Feb 2008: Bitext Word Alignment Word Alignment Results. Bitext Alignment Results. Test: NIST 2001 MT-eval set, 124 sentence pairs w/ manual word alignmentsComparable performance to Model-4 on FBIS training bitextIncreasing max ... GOAL: add phrase pairs to improve
  13. DISCRIMINATIVE LANGUAGE MODEL ADAPTATION FORMANDARIN BROADCAST SPEECH …

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/liu-asru07.pdf
    26 Mar 2008: This paper investigates using the MBR criterion for unsuper-vised discriminative language model adaptation in test-time for speechrecognition and translation systems. ... Unsupervised test-time discriminative adaptation of mixture languagemodels was
  14. Automatic Speech Recognition and Statistical Machine Translation…

    mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDefenseDec07.pdf
    16 Feb 2008: Table: Oracle-best BLEU for EPPS development and test set measured over a1000-best translation list. ... θ̂ = argmaxθ. F(θ). Translation evaluated on a blind test set using the optimized parameters.
  15. Obtaining Feature Correspondences Neill Campbell May 9, 2008 A ...

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/IB-SIFT-extra-material.pdf
    12 May 2008: D. z. z0. )Tẑ (9). A final test is performed to remove any features located on edges in the image since these willsuffer an ambiguity if used for matching purposes.
  16. sig-004.dvi

    mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf
    19 Mar 2008: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University
  17. A HYBRID DISPLACEMENTESTIMATION METHOD FOR ULTRASONIC ELASTICITY…

    mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr615.pdf
    13 Nov 2008: After each test, theestimated axial displacement field was compared with the known ground truth and the averageabsolute point-wise difference d was recorded.

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